"""UI for the Math Helper prototype for exploring safety engineering concepts and LLMs.
Using Streamlit to provide a python-based front end.
"""

#Import the libraries for human interaction and visualization.
import streamlit as st
import logging
from helpers.constant import *
from helpers.chat import basicChat, guidedMM, mmChat
import base64

logger = logging.getLogger(__name__)
logging.basicConfig(filename='app.log', level=logging.INFO)

def update_model(name):
    if name == "Llama":
        st.session_state.model = LLAMA
    else:
        st.session_state.model = QWEN

if "model" not in st.session_state:
    st.session_state.model = LLAMA
if "systemPrompt" not in st.session_state:
    st.session_state.systemPrompt = "Model"

st.set_page_config(page_title="IMSA Math Helper v0.1")
st.title("IMSA Math Helper v0.1")
with st.sidebar:
    st.info("""This prototype is designed to help students explore the potential and risks of using LLMs to help learn math. 
    This version (v.01) exists to demonstrate an end-to-end proof of concept for the students to engage with to identify
    hazards within the system design. Future iterations will include the constraints they devise to improve the system.""")
    # User selects a model
    model_choice = st.radio("Please select the model:", options=["Llama","QWEN"])
    update_model(model_choice)
    logger.info(f"Model changed to {model_choice}.")
    systemPrompt = st.radio("Designate a control persona:",options=["Model","Tutor"])
    st.session_state.systemPrompt = systemPrompt
    liveExperience = st.checkbox("Check to enable the live experience.")

st.subheader(f"This experience is currently running on {st.session_state.model}.")

# Initialize chat history
if "messages" not in st.session_state:
    st.session_state.messages = []

# Display chat messages from history on app rerun
for message in st.session_state.messages:
    with st.chat_message(message["role"]):
        st.markdown(message["content"])

if liveExperience:
    enable = st.checkbox("Enable camera to upload a picture of your math problem.")
    picture = st.camera_input("Take a picture", disabled=not enable)

    if picture is not None:
        st.image(picture)
        picBytes= picture.getvalue()
        b64IMG = base64.b64encode(picBytes).decode('utf-8')
        img_url = f"data:image/jpeg;base64,{b64IMG}"
        guidedMM(st.session_state.systemPrompt, img_url)
else:
    st.info("Please select an example image to understand the basic potential of the app before using the live app. You can ask the model a question about these images to see how it responds.")
    example = st.selectbox("Select an example image", options=["Example 1", "Example 2"])
    if example == "Example 1":
        img_url = "https://huggingface.co/spaces/butterswords/MM_Math_Helper/resolve/main/tempDir/example1.png"
    elif example == "Example 2":
        img_url = "https://huggingface.co/spaces/butterswords/MM_Math_Helper/resolve/main/tempDir/example2.png"
    st.image(img_url)
    guidedMM(st.session_state.systemPrompt, img_url)